Ground truth must be a process, not a dataset, for AI fact-checking

Amazon scientists highlight the challenges of automatically fact-checking lengthy AI-generated research reports. They argue that traditional static benchmark datasets are insufficient for this task, proposing instead that ground truth must be treated as an ongoing, iterative process. This shift in perspective could reshape how the industry evaluates and benchmarks AI systems that generate complex, long-form content.